Instructors

Andrew is a Senior Data Scientist at New York Life Insurance Company. He previously held roles as a Data Scientist and as a Statistical Programmer / Analyst for prominent corporations. During his work experience, he has utilized Python, R, and SQL, among other tools, to drive business decisions, automate the renewal process, and build machine learning models that assess risk and streamline inefficiencies. He has also managed consultants, mentored junior data scientists, and led internal training sessions on Python, R, and other technical topics.
In his free time, Andrew leads meetup groups on bioinformatics and open source programming, and writes blog posts for TheAutomatic.net. His articles have also appeared on R-bloggers, Interactive Brokers, and R Weekly.

Currently a Senior Product Manager for Applied Machine Learning, Danielle has a longstanding expertise in product marketing and management. Prior to joining our team, she worked for Google where she was Project Management lead on Google Impact Challenge voting site and Google.org consulting project for a mobile user interface for individuals with cognitive disabilities. Her extensive experience includes working with Data Scientists to leverage Natural Language Processing in storytelling for Wattpad, as well as founding Developers Without Borders – an online platform that connects software developers worldwide with development projects. Danielle describes herself as “a tech enthusiast that makes the digital world easy to understand”.

Elitsa Kaloyanova is a Computational Biologist with expertise in the fields of algorithms and data structures, phylogenetics, and population genetics. She has a strong academic background in Bioinformatics with publications on constructing Phylogenetic Networks and Trees for the Analysis of Genetic Datasets. Elitsa’s experience informs her analytical approach to each student’s needs, adding to her agility and allowing her to transpose both theoretical knowledge and ideas.
When not at the office, she enjoys hiking and windsurfing, as much as curling up with a good book or laughing hard at British comedy sketches.

Giles is an Oxford-trained medical physicist and data scientist turned Python instructor. His dynamic interactive teaching style has inspired legions of fans. And his educational programming and data science videos on YouTube have amassed over 6 million views.
Giles is particularly interested in the applications of Python to data, machine learning, modeling and artificial intelligence.
Prior to discovering his passion for data science, he was a successful financial journalist and a popular radio host.

Iliya is co-founder of 365 Data Science and a Finance graduate with a wide range of expertise spanning mathematics, statistics, programming, machine learning, and deep learning. In his courses, he shares his extensive experience in predictive modeling, complex analysis techniques, and optimization algorithms.
Iliya has a BA in International Economics, Management and Finance from Bocconi University where he was Founder and President of the Bocconi Students Mathematics and Logics Association. When not working, you will find him catching up with the latest technology trends, sailing, or enjoying exquisite food.

A top-of-class graduate from Edinburgh, Caltech, and Oxford, Iskren is a true academic force with over 8 years of industry experience, from Junior developer to Head Of Research And Development. He holds numerous prestigious awards, including the Microsoft Research Award for best Informatics dissertation and the BSc Computer Science and Physics Class Prize for the highest mark in his degree program.

Iskren’s research background in Quantum Computation and experience in Machine Learning, both theory and applications, have contributed greatly to both our Deep Learning with TensorFlow course and the upcoming CNNs course in our program.

Ken Jee has worked for several prominent industries: consulting (Scouts Consulting Group where he is currently Head of Data Science), start-ups (GoHealth), and conglomerates like GE. A firm believer that it’s “all about the big picture”, he has made it his mission to stay up to date with the newest technologies and analytic techniques. Ken uses his rich experience in recruitment of data scientists to provide invaluable first-hand insights into landing a job in the field. He is “passionate about sports, food, and data science”.

Martin Ganchev is the author of the Python, SQL, and Integration courses in the 365 Data Science Program. He has an MSc in Economic and Social Sciences from Bocconi University in Milan, Italy. Throughout his studies, Martin gained advanced knowledge of Mathematics, Statistics, Econometrics, Time-Series, and Behavioral Economics & Finance. His experience includes assisting an empirical research for Innocenzo Gasparini Institute of Economic Research and working for DG Justice and Consumers at the European Commission, where he handled data pre-processing, data quality checking, econometric and statistical analysis. Martin’s largely diverse talents include improv theatre and stand-up comedy performances.

Ned Krastev is the co-founder of 365 Data Science. He has a bachelor’s degree in Business Administration and Management, and a Master’s degree in Finance at Bocconi University in Milan, Italy.
Prior to starting up 365 Data Science, Ned had gained solid experience in financial advisory, and had worked for high-profile international companies, such as PwC (Italy), Coca-Cola (United Kingdom), and Infineon Technologies (Germany). Apart from all things finance, Ned admits he is a huge fan of non-working Sundays.

Nikola Pulev is a Natural Sciences graduate from the University of Cambridge (UK) turned data science practitioner and a course instructor at 365 Data Science. Nikola has a passion for mathematics, physics, and programming. Over the years, he has taken part in multiple national and international competitions, where he has won numerous awards. Nikola prefers 200% over 80% difficulty (“80% is for the weak”) and we believe he can handle it with ease.

Currently Director of Data Science and Automation at KBC Group, Nikolay has a rich background in marketing analytics, risk modeling, and research. He has a Master’s degree in Science, and a Ph.D. in Economics and Business Administration. He boasts more than six years of experience in academic research at HEC Paris, BI Norwegian Business School, and The University of Texas at Austin, U.S. Nikolay has also worked on numerous projects for Coca-Cola Hellenic and Shawbrook Bank (UK) that involve building highly accurate quantitative models and solutions for customer portfolio management, credit risk, social media marketing research, and psychological targeting. When off-duty, you can spot Nikolay condition training at the gym or enjoying a healthy meal.

Randy Rosseel is a Six Sigma Master Black Belt, and a CFA charter holder with ample executive experience. He has spent the large part of his career (more than 16 years) working for Coca-Cola European Partners as Business Controller and Finance Director for the corporate office. In the last couple of years, he has also been leading global change projects including setting up Shared Service Centers and a Business Analytics Center of Expertise.
All that experience has given Randy a unique perspective into business analytics, as he has seen how a world-class organization built up its analytics capabilities and positioned itself for success in the years to come. He also enjoys teaching which inspired him to share his expertise with you.

Simona is a Cognitive Science researcher by formal training and author of the R for Statistics and Data Science course in our program. Her rigorous academic approach and an uncompromising drive for excellence are the main contributors to her students’ success. Apart from graduating with Honors from The University of Edinburgh, Simona has been a Lead Research Technician during her studies, designing and running experimental manipulations and ensuring the diversity and representativeness in the data.
Simona is passionate about game development and game theory and is super excited about playing new games (while also about understanding what’s under their hood).

A Hamilton College graduate, Viktor has a double degree in Mathematics and Economics. His strong analytics background stems from his Statistics, Econometrics, Financial Time-Series Econometrics and Behavior Economics education. Vik’s coding experience includes working with C, C++, and Python, as well as the more math/econ-oriented MATLAB and STATA. He has been fascinated by coding algorithms since the age of 11 and describes himself as a “Bachelor of Science and overall cool guy”, and we couldn’t agree more.